Designed to perform.
Built to last.
Building real-world apps across iOS, macOS, and the web with extreme focus on clean design, technical depth, and scalable architecture.
"Simplicity is the ultimate sophistication."
I am a high school software engineer and machine learning builder focused on native application development, deep learning architectures, and developer tooling. My focus spans building real-time computer vision safety applications, writing local transformer models from scratch, and architecting autonomous AI agents. I believe the best software combines rigorous backendperformance with seamless, intuitive product design—solving real human problems through code that scales.
Featured Releases.
NoSleep
Driver alertness & real-time safety system engineered to keep journeys secure.
Explore NoSleep ↗
Automation
My Jarvis
Personal intelligent automation assistant built for workflow efficiency.
View Project ↗Engineering & Architecture.
Systems & Neural Networks
Focused on building custom deep learning pipelines, local LLM integrations, and autonomous coding agents. From PyTorch computer vision classifiers to local transformer algorithms and MCP-based database tools, I prioritize latency optimization, local compute efficiency, and modular codebases.
Apple-Grade UX & Motion
High-performance software should feel fluid. I apply clean, modern design principles across iOS, macOS, and web interfaces, leveraging liquid responsiveness, accessibility standards, and intuitive micro-interactions to create tools that feel as good as they run.
Tools & Technical Stack
Languages: Python (PyTorch, NumPy, OpenCV), Swift (SwiftUI, ARKit, CoreML), C++, Java, JavaScript/TypeScript. Frameworks & Tools: Git, Xcode, VS Code, Linux/Bash, Model Context Protocol (MCP), LM Studio, Docker, Vercel/Neocities.